1986
Normalized measures of entropy
Publication
Publication
International Journal of General Systems , Volume 12 - Issue 1 p. 55- 69
A number of “normalized” measures ol entropy have been obtained to measure the “intrinsic” uncertainty of a probability distribution. Their graphs have been drawn and it has been shown that the normalized measures of a given probability distribution are much closer to one another than the corresponding absolute measures of entropy.
| Additional Metadata | |
|---|---|
| information theory, Maximum entropy, normalized measures, probabilistic systems, uncertainty | |
| doi.org/10.1080/03081078608934927 | |
| International Journal of General Systems | |
| Organisation | Sprott School of Business |
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Kumar, U, Kumar, V, & Kapur, J.N. (J. N.). (1986). Normalized measures of entropy. International Journal of General Systems, 12(1), 55–69. doi:10.1080/03081078608934927
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